code: def parse_args():
      parser = ArgsParser()
      parser.add_argument(
          "--infer_dir",
          type=str,
          default=None,
          help="Directory for images to perform inference on.",
      )
      parser.add_argument(
          "--infer_img",
          type=str,
          default=None,
          help="Image path, has higher priority over --infer_dir",
      )
      parser.add_argument(
          "--output_dir",
          type=str,
          default="output",
          help="Directory for storing the output visualization files.",
      )
      parser.add_argument(
          "--save_results",
          type=bool,
          default=False,
          help="Whether to save inference results to output_dir.",
      )
      parser.add_argument(
          "--visualize",
          type=ast.literal_eval,
          default=True,
          help="Whether to save visualize results to output_dir.",
      )
      args = parser.parse_args()
      return args
  
file_path: PaddleDetection/tools/infer_culane.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import warnings
  import glob
  import ast
  import paddle
  from ppdet.core.workspace import load_config, merge_config
  from ppdet.engine import Trainer
  from ppdet.utils.check import check_gpu, check_npu, check_xpu, check_mlu, check_version, check_config
  from ppdet.utils.cli import ArgsParser, merge_args
  from ppdet.slim import build_slim_model
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args